Interactive plot of the distribution of fitness effects of different types of mutations for each viral gene. The dark squares show the median effect of mutations of each type (stop, nonsynonymous, or synonymous), and the light rectangles span the interquartile range. Mutations with negative fitness effects are deleterious.
You can mouseover the bars for details.
You can click on the mutation type legend to just highlight mutations of a specific type.
The minimum expected count slider below the plot indicates how many expected counts of a mutation we require before making a fitness estimate. Larger values yield more accurate estimates but for fewer mutations. Move the slider to the left to show estimates for more mutations at lower confidence, and move it to the right to show estimates for fewer mutations at higher confidence. Values in a range of 10 to 20 are usually sufficient to yield reasonably accurate estimates.
See https://github.com/jbloomlab/SARS2-mut-fitness for full computer code and data.